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Now showing items 1-8 of 8

Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems

Type: Conference Paper

Author : Chafii, Marwa; Palicot, Jacques; Gribonval, Remi

Publisher: IEEE

Year: 2014

Brain source localization using a physics-driven structured cosparse representation of EEG signals

Type: Conference Paper

Author : Albera, L.; Kitic, S.; Bertin, N.; Puy, G.; Gribonval, Remi

Publisher: IEEE

Year: 2014

Convex Regularizations for the Simultaneous Recording of Room Impulse Responses

Type: Journal Paper

Author : Benichoux, Alexis; Simon, Laurent; Vincent, Emmanuel; Gribonval, Remi

Publisher: IEEE

Year: 2014

Fast, variation-based methods for the analysis of extended brain sources

Type: Conference Paper

Author : Becker, Hanna; Albera, Laurent; Comon, Pierre; Gribonval, Remi; Merlet, Isabelle

Publisher: IEEE

Year: 2014

Separable cosparse Analysis Operator learning

Type: Conference Paper

Author : Seibert, Matthias; Wormann, Julian; Gribonval, Remi; Kleinsteuber, Martin

Publisher: IEEE

Year: 2014

A dynamic screening principle for the Lasso

Type: Conference Paper

Author : Bonnefoy, Antoine; Emiya, Valentin; Ralaivola, Liva; Gribonval, Remi

Publisher: IEEE

Year: 2014

Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity

Type: Journal Paper

Author : Bilen, Cagdas; Puy, G.; Gribonval, Remi; Daudet, Laurent

Publisher: IEEE

Year: 2014

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems

Type: Journal Paper

Author : Bourrier, Anthony; Davies, Mike E.; Peleg, Tomer; Perez, Pablo; Gribonval, Remi

Publisher: IEEE

Year: 2014

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Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems

Brain source localization using a physics-driven structured cosparse representation of EEG signals

Convex Regularizations for the Simultaneous Recording of Room Impulse Responses

Fast, variation-based methods for the analysis of extended brain sources

Separable cosparse Analysis Operator learning

A dynamic screening principle for the Lasso

Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems

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Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems

Brain source localization using a physics-driven structured cosparse representation of EEG signals

Convex Regularizations for the Simultaneous Recording of Room Impulse Responses

Fast, variation-based methods for the analysis of extended brain sources

Separable cosparse Analysis Operator learning

A dynamic screening principle for the Lasso

Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems